Image System Device Host Location-Based File Naming
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Solution Overview
Problem
Existing image system devices lack an efficient method to associate captured images with the specific digital cameras that took them, making it difficult to identify which camera captured an image and detect abnormal camera operations.
Innovation Solution
The image system device includes a host that acquires location information for each digital camera, generates file names based on this information, and stores images accordingly, allowing easy identification of the camera that captured each image and facilitating the detection of abnormal camera operations through a notification system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple digital cameras are connected to capture images from different directions, then the ability to capture comprehensive subject information is improved, but the difficulty of identifying which camera captured each image increases
Solution Approach 1:
The system divides the image data management by creating separate storage paths for each camera based on location information. Each camera's images are organized in distinct directories or file structures, allowing easy identification and retrieval without confusion between multiple camera sources.
Solution Approach 2:
Location information serves as an intermediary element that bridges the connection between digital cameras and their captured images. The host uses this location information to automatically generate appropriate file names and organize images, eliminating the need for manual association and solving the identification problem.
2Measurement precision
If manual tracking of camera-image correspondence is implemented, then accurate identification is possible, but the time and operational complexity increase significantly
Solution Approach 1:
The host automatically performs the association action between images and cameras in advance, using location information to generate distinctive file names during the image capture process. This preliminary automated action eliminates the need for subsequent manual tracking and identification efforts.
Solution Approach 2:
The system enables self-service by automatically managing the image-camera correspondence without requiring manual intervention. The host system autonomously tracks and organizes images based on location information, making the identification process transparent and instantaneous for users.
3Ease of operation
If location information is acquired and used for file naming, then image-camera correspondence is easily identified, but the system complexity increases
Solution Approach 1:
The location information acquisition mechanism serves multiple functions: it identifies camera positions, generates distinctive file names, and organizes image storage automatically. This multi-functional approach consolidates what would otherwise require separate manual processes into a single integrated system operation.
Solution Approach 2:
The system replaces manual mechanical tracking methods with automated electronic information processing. Instead of physically tracking or manually recording which camera captured which image, the system uses electronic location information and automated file naming conventions to establish correspondence instantly.
Data Source
AI summary
Provided is an image system device comprising: a plurality of imaging units that captures a specific subject from different directions; a shooting signal transmitter that transmits, to the plurality of imaging units, a shooting signal for controlling a capturing timing of the plurality of imaging units; and a host that acquires location information indicating a physical location of each of the plurality of imaging units, and when receiving an image from each of the plurality of imaging units, stores the image with a file name based on the location information corresponding to each of the imaging units from which the image is received.


